20 Feb 2026, 15:38 UTC≈4,170 views15 reactionsread 12 August 2026 Forwarded from @Udemy7Photo
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17 Jan 2026, 14:19 UTC≈4,710 views16 reactionsread 12 August 2026 Forwarded from @Best_AI_toolsPhoto
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26 Dec 2025, 07:07 UTC≈6,390 views13 reactionsread 12 August 2026 Photo
Hi everyone 👋👋.My friends are here again for part 2 of our intro to Pandas👌🎉👏.In Pandas, you can easily extract more useful data points from existing data in the table, and because Pandas has been optimized to work on large amounts of data, column operations are super fast 💨..Here I divide the founders’ net worth by their age, to get a sense of their average wealth accumulation rate.Then I am interested to see who’s …
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26 Nov 2025, 16:43 UTC≈7,350 views17 reactionsread 12 August 2026 Photo
Hi everyone 👋👋.I wanted to introduce Pandas to you in case it’s new to you. We will be working a lot with it in the future so a nice introduction will go a long way 🙌.I have asked a few of my friends ‼️ to help me introduce Pandas to you by showing up on the post 😂😂.Jokes aside, Pandas is a really powerful data analytics library in Python that I use almost everyday. It’s robust, fast, and great for prototyping data s…
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24 Sept 2025, 09:51 UTC≈10,100 views23 reactionsread 12 August 2026 Photo
Being fluent in NumPy goes a long way in becoming a data scientist 🏃 Today we are taking an important step in that direction! 🚀
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Wanna know more? Check out the slides!
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👨💻#NumPy
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13 Aug 2025, 11:00 UTC≈12,300 views19 reactionsread 12 August 2026 Photo
Partitioning is an important technique when you have a large amount of data and like to partition it based on a pivot value. NumPy can do this very efficiently and it leads to some cool applications.
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Wanna know more? Check out the slides!
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👨💻#NumPy
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1 Jun 2025, 07:47 UTC≈16,400 views35 reactionsread 12 August 2026 Photo
Hi Data Science enthusiasts 👋
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Today, we are gonna talk about broadcasting in NumPy 🔢
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Broadcasting is a powerful, useful yet tricky feature in NumPy. If you know it well and use it intentionally, you can simplify a lot of code 👌
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However, if it’s used by mistake it can create bugs and a lot of headaches 🤕
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That’s because in NumPy, you can easily do operations between matrices even if they don’t have the same sha…
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Showing the 7 most recent of 7 posts we hold for @Data_Science_Ai_Python. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.